Exploring the Use of Machine Learning in Healthcare Prediction

Zhiyuan Ren
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Abstract

The development process of modern society is accelerated, and at the same time, people’s need for medical care deepens. The main purpose of this study is to summarize the general situation of the current application of machine learning in medical prediction. This paper mainly analyzes the current situation of the application of machine learning models as well as the existence of problems by dissecting the current situation of the application of machine learning models and carries out a comprehensive analysis of its features. It focuses on analyzing the issues in the application of machine learning in disease prediction in imaging diagnosis, cancer risk assessment, cancer recurrence prediction, and mental illness prediction and make an arrangement summary about the current status of machine learning models in various healthcare prediction domains and owning characteristics The ultimate goal of this paper is to conclude the extent to which machine learning models can play a role in the context of the current continuous development of medical technology.
探索机器学习在医疗预测中的应用
现代社会发展进程加快,与此同时,人们对医疗保健的需求也日益加深。本研究的主要目的是总结当前机器学习在医学预测中应用的总体情况。本文主要通过剖析机器学习模型的应用现状以及存在的问题,对其特点进行全面分析。本文的最终目的是总结在当前医疗技术不断发展的背景下,机器学习模型能在多大程度上发挥作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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